Selection of Combat Aircraft by Using Shannon Entropy and VIKOR Method
Abstract
The selection of military defense equipment, especially fighter aircraft, has a bearing on the readiness of
the Indian Air Force to defend the country’s independence. This study analyses a collection of alternative fighter
aircraft that are linked to several choice factors using a multiple-criterion decision-making analysis technique. To
handle such scenarios and make wise design judgements, a variety of criterion decision analysis techniques can be
used. In this study, we assess fifth-generation fighter aircraft that incorporate significant 21st-century technological
advancements. These aircraft represent the state-of-the-art in fleet planning operations to 2022. These are generally
equipped with quick-moving airframes, highly integrated computer systems, superior avionics features, networking
with other battlefield elements, situational awareness, command, control, and other communication capabilities.
The study proposes a strategy for the selection of the fifth-generation combat aircraft for the National Air Force.
Because of the problems, the Army needed an application that could assist with decision-making for combat selection systems. Solving the decision problem for evaluating fifteen military fighter alternatives in terms of nine decision criteria is the main objective of this work. We use the Shannon entropy and VIKOR model for the Air Force’s fleet program to evaluate military fighter aircraft suitability. The entropy technique is used to compute the weight of the criteria, and then the VIKOR technique has been used to rank the fighter aircraft.
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